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Advances in Feature Selection for Data and Pattern Recognition

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some...

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Bibliographic Details
Other Authors: Stańczyk, Urszula (Editor), Zielosko, Beata (Editor), Jain, Lakhmi C. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Intelligent Systems Reference Library
Subjects:
Computational Intelligence
Artificial Intelligence
Data Mining
Data Mining And Knowledge Discovery
Automated Pattern Recognition
Pattern Recognition Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • An Introduction
  • Attribute Selection Based on Reduction of Numerical Attribute During Discretization
  • Improving Bagging Ensembles for Class Imbalanced Data by Active Learning
  • Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach
  • Ranking-Based Rule Classifier Optimisation
  • Attribute Selection in a Dispersed Decision-Making System
  • Feature Selection Approach for Rule-based Knowledge Bases
  • Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data

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